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https://hdl.handle.net/2440/76819
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Type: | Journal article |
Title: | Microstructure modelling of hot deformation of Al-1%Mg alloy |
Author: | Talamantes-Silva, J. Abbod, M. Puchi Cabrera, E. Howard, I. Beynon, J. Sellars, C. Linkens, D. |
Citation: | Materials Science and Engineering A: Structural Materials: Properties, Microstructure and Processing, 2009; 525(1-2):147-158 |
Publisher: | Elsevier Science SA |
Issue Date: | 2009 |
ISSN: | 0921-5093 1873-4936 |
Statement of Responsibility: | J. Talamantes-Silva, M.F. Abbod, E.S. Puchi Cabrera, I.C. Howard, J.H. Beynon, C.M. Sellars, D.A. Linkens |
Abstract: | This study presents the application of the finite element method and intelligent systems techniques to the prediction of microstructural mapping for aluminium alloys. Here, the material within each finite element is defined using a hybrid model. The hybrid model is based on neuro-fuzzy and physically based components and it has been combined with the finite element technique. The model simulates the evolution of the internal state variables (i.e. dislocation density, subgrain size and subgrain boundary misorientation) and their effect on the recrystallisation behaviour of the stock. This paper presents the theory behind the model development, the integration between the numerical techniques, and the application of the technique to a hot rolling operation using aluminium, 1 wt% magnesium alloy. Furthermore, experimental data from plane strain compression (PSC) tests and rolling are used to validate the modelling outcome. The results show that the recrystallisation kinetics agree well with the experimental results for different annealing times. This hybrid approach has proved to be more accurate than conventional methods using empirical equations. © 2009 Elsevier B.V. All rights reserved. |
Keywords: | Modelling Finite element Hybrid model Hot rolling Neuro-fuzzy Microstructure Recrystallisation |
Rights: | Copyright © 2009 Elsevier B.V. All rights reserved. |
DOI: | 10.1016/j.msea.2009.06.046 |
Published version: | http://dx.doi.org/10.1016/j.msea.2009.06.046 |
Appears in Collections: | Aurora harvest 4 Mechanical Engineering publications |
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